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code-reviewer

Automação de revisão de código para diversas linguagens, analisando PRs quanto à complexidade e risco, verificando a qualidade do código para violações SOLID e code smells, e gerando relatórios de revisão. Ideal para revisar pull requests, analisar a qualidade do código e identificar problemas.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Ler descrição completa

Code Reviewer

Automated code review tools for analyzing pull requests, detecting code quality issues, and generating review reports.

How This Skill Is Organized

code-reviewer/
  SKILL.md                        ← you are here (tools + dispatch table)
  rules/
    universal.md                  ← security, async, resources, exceptions, performance — all languages
  languages/
    python.md                     ← Python-specific rules + idioms
    typescript.md                 ← TypeScript / JavaScript-specific rules + idioms
    go.md                         ← Go-specific rules + idioms
    swift.md                      ← Swift-specific rules + idioms
    kotlin.md                     ← Kotlin-specific rules + idioms
    csharp.md                     ← C# / .NET-specific rules + idioms
    java.md                       ← Java-specific rules + idioms
    c.md                          ← C -specific rules + idioms
    cpp.md                        ← C++ -specific rules + idioms
    rust.md                       ← Rust -specific rules + idioms
    ruby.md                       ← Ruby -specific rules + idioms
    php.md                        ← PHP-specific rules + idioms
    dart.md                       ← Dart / Flutter-specific rules + idioms

Loading order for every review

  1. This file (SKILL.md) — tools and thresholds
  2. rules/universal.md — always, for every language
  3. The matching languages/*.md — one file based on the extension table below

That is always exactly 2 additional files, regardless of scope.

| Extension(s) | Load | |---|---| | .py | languages/python.md | | .ts, .tsx, .js, .jsx, .mjs | languages/typescript.md | | .go | languages/go.md | | .swift | languages/swift.md | | .kt, .kts | languages/kotlin.md | | .cs, .csx, .razor, .cshtml | languages/csharp.md | | .java | languages/java.md | | .c, .h | languages/c.md | | .cpp, .cc, .cxx, .hpp, .hh, .hxx | languages/cpp.md | | .rs | languages/rust.md | | .rb, .rake, .gemspec, .ru | languages/ruby.md | | .php, .phtml | languages/php.md | | .dart | languages/dart.md |

Tools

PR Analyzer

Analyzes git diff between branches to assess review complexity and identify risks.

# Analyze current branch against main
python scripts/pr_analyzer.py /path/to/repo

# Compare specific branches
python scripts/pr_analyzer.py . --base main --head feature-branch

# JSON output for integration
python scripts/pr_analyzer.py /path/to/repo --json

What it detects (universal — see also language file for language-specific signals):

  • Hardcoded secrets (passwords, API keys, tokens, connection strings)
  • SQL / query injection patterns
  • Debug statements left in production code
  • Lint / analyzer suppression annotations
  • TODO/FIXME comments

Language-specific detections are defined in each languages/*.md file.

Output includes:

  • Complexity score (1-10)
  • Risk categorization (critical, high, medium, low)
  • File prioritization for review order
  • Commit message validation

Code Quality Checker

Analyzes source code for structural issues, code smells, and SOLID violations.

# Analyze a directory
python scripts/code_quality_checker.py /path/to/code

# Analyze specific language
# Valid values: python, typescript, javascript, go, swift, kotlin, csharp, java, c, cpp, rust, ruby, php, dart
python scripts/code_quality_checker.py . --language java

# JSON output
python scripts/code_quality_checker.py /path/to/code --json

Universal thresholds:

| Issue | Threshold | |-------|-----------| | Long function | >50 lines | | Large file | >500 lines | | God class | >20 methods | | Too many params | >5 | | Deep nesting | >4 levels | | High complexity | >10 branches |

Language-specific checks are defined in each languages/*.md file.

Review Report Generator

Combines PR analysis and code quality findings into structured review reports.

# Generate report for current repo
python scripts/review_report_generator.py /path/to/repo

# Markdown output
python scripts/review_report_generator.py . --format markdown --output review.md

# Use pre-computed analyses
python scripts/review_report_generator.py . \
  --pr-analysis pr_results.json \
  --quality-analysis quality_results.json

Verdicts:

| Score | Verdict | |-------|---------| | 90+ with no high issues | Approve | | 75+ with ≤2 high issues | Approve with suggestions | | 50-74 | Request changes | | <50 or critical issues | Block |

Adding a New Language

Reviewer guidance (required):

  1. Create languages/<name>.md using any existing language file as a template — it must have sections: PR Analyzer Signals, Code Quality Checks, Security, Async, Resource Management, Exception Handling, Performance, Idioms.
  2. Add the extension row to the dispatch table above.

That is all the agent-driven review needs.

Deterministic analyzer support (optional, recommended): the bundled scripts only flag a language they explicitly know. To make code_quality_checker.py score the new language:

  1. Add the extensions to LANGUAGE_EXTENSIONS in scripts/code_quality_checker.py (this also adds the --language choice).
  2. Add function / class / method regex entries for the language in the same file; otherwise it falls back to the Python patterns.
  3. Optionally add a check_<name>_specific_smells(...) detector (see the C#, Java, and C ones) and call it from analyze_file.
  4. Add assets/sample_<name>_smells.<ext> + _clean fixtures and commit the expected --json output under expected_outputs/ as a regression guard.

Regression Fixtures

Labelled fixtures live in assets/ with their committed --json output in expected_outputs/ (C#, Java, and C). Drift from the committed JSON signals a behaviour change in the analyzer:

python scripts/code_quality_checker.py assets/sample_java_smells.java --json \
  | diff - expected_outputs/sample_java_smells_quality.json
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